Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Zeng-Shun Zhao"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
This paper proposes a new method for mobile robots to recognize places with the use of a single camera and natural landmarks. In the learning stage, the robot is manually guided along a path. Video sequences are captured with a front-facing camera. T
Externí odkaz:
https://doaj.org/article/adb552bc7fd44af391258ba39d30f93b
Autor:
Zeng-Shun Zhao, Xiang Feng, Yan-yan Lin, Fang Wei, Shi-Ku Wang, Tong-Lu Xiao, Mao-Yong Cao, Zeng-Guang Hou, Min Tan
Publikováno v:
Journal of Applied Mathematics, Vol 2013 (2013)
The Rao-Blackwellized particle filter (RBPF) algorithm usually has better performance than the traditional particle filter (PF) by utilizing conditional dependency relationships between parts of the state variables to estimate. By doing so, RBPF coul
Externí odkaz:
https://doaj.org/article/9c43a5dbf61144168f0f5a7c794dc2db
Autor:
Rong Shan, Zeng-Shun Zhao, Pan-Fei Chen, Wei-Jian Liu, Shu-Yi Xiao, Yu-Han Hou, Mao-Yong Cao, Fa-Liang Chang, Zhigang Wang
Publikováno v:
Applied Sciences, Vol 6, Iss 6, p 175 (2016)
Society is more and more interested in developing mathematical models to assess and forecast the environmental and biological health conditions of our planet. However, most existing models cannot determine the long-range impacts of potential policies
Externí odkaz:
https://doaj.org/article/2a065fb881c1471dbd4f1989187d2eaf
Autor:
Dapeng Oliver Wu, Zeng-Shun Zhao, Chengqin Wu, Juanjuan Wang, Jixiang Zhang, Haoran Yang, Ning Xu
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-16 (2021)
Long-term visual tracking undergoes more challenges and is closer to realistic applications than short-term tracking. However, the performances of most existing methods have been limited in the long-term tracking tasks. In this work, we present a rel
Publikováno v:
Journal of Healthcare Engineering, Vol 2021 (2021)
Journal of Healthcare Engineering
Journal of Healthcare Engineering
At present, cardiovascular disease is regarded as one of the dangerous diseases that threaten human life. The morbidity and lethality caused by cardiovascular disease are constantly increasing every year. In this paper, we propose a two-stream style
Autor:
Zeng-Shun Zhao, Juanjuan Wang, Dapeng Oliver Wu, Yulu Yang, Haoran Yang, Qian Sun, Zhigang Wang, Yi Miao
Publikováno v:
Mathematics
Volume 7
Issue 11
Mathematics, Vol 7, Iss 11, p 1059 (2019)
Volume 7
Issue 11
Mathematics, Vol 7, Iss 11, p 1059 (2019)
As one of the core contents of intelligent monitoring, target tracking is the basis for video content analysis and processing. In visual tracking, due to occlusion, illumination changes, and pose and scale variation, handling such large appearance ch
Publikováno v:
Neurocomputing. 253:65-69
Sparse representation based classification (SRC) methods have achieved many successes in pattern recognition and machine learning. In such methods, the training samples of all categories are mixed and compose a dictionary to represent the test sample
Autor:
Tong-Lu Xiao, Fang Wei, Zeng-Guang Hou, Zeng-Shun Zhao, Shi-Ku Wang, Maoyong Cao, Yan-yan Lin, Xiang Feng
Publikováno v:
Neurocomputing. 149:29-38
The neural network ensemble (NNE) is a very effective way to obtain a good prediction performance by combining the outputs of several independently trained neural networks. Swarm intelligence is applied here to model the population of interacting age
Publikováno v:
Neurocomputing. 149:100-105
Support Vector Data Description (SVDD) is an important algorithm for data description problem. SVDD uses only positive examples to learn a predictor whether an example is positive or negative. When a fraction of negative examples are available, the p
Publikováno v:
Neural Computing and Applications. 26:957-968
I-MLOF algorithm is an extension of local outlier factor (LOF) algorithm in multiple instance (MI) setting. The task of I-MLOF is to identify MI outlier. However, I-MLOF algorithm works in batch mode, where all samples must be provided for once. In s